package com.atguigu.flink.keyStateAndOpeState;

import com.atguigu.flink.bean.WaterSensor;
import com.atguigu.flink.function.WaterSensorMapFunction;
import org.apache.flink.api.common.state.MapState;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;

import java.util.Map;

/**
 *需求：统计每种传感器每种水位值出现的次数
 */

public class OperatorMapState {
    public static void main(String[] args) throws Exception {
        // TODO 1.环境准备
        // 1.1指定流处理环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        // 1.2设置并行度
        env.setParallelism(1);
        // TODO 2.从指定的网络端口读取数据
        DataStreamSource<String> socketDS = env.socketTextStream("hadoop102", 8888);
        // TODO 3.对数据进行类型转换 String -> Watersensor
        SingleOutputStreamOperator<WaterSensor> wsDS = socketDS.map(new WaterSensorMapFunction());
        // TODO 4.按照传感器id进行分组
        KeyedStream<WaterSensor, String> keyByDS = wsDS.keyBy(WaterSensor::getId);
        // TODO 5.对分组后的数据进行处理 判断连续的两个水位值是否超过10 如果超过10，输出报警
        SingleOutputStreamOperator<String> processDS = keyByDS.process(
                new KeyedProcessFunction<String, WaterSensor, String>() {

                    MapState<Integer, Integer> vcCountMapState;

                    @Override
                    public void open(Configuration parameters) throws Exception {
                        MapStateDescriptor<Integer, Integer> mapStateDescriptor = new MapStateDescriptor<>(
                                "vcCountMapState",
                                Integer.class,
                                Integer.class);
                        vcCountMapState = getRuntimeContext().getMapState(mapStateDescriptor);
                    }

                    @Override
                    public void processElement(WaterSensor ws, KeyedProcessFunction<String, WaterSensor, String>.Context ctx, Collector<String> out) throws Exception {
                        Integer vc = ws.getVc();
                        if (vcCountMapState.contains(vc)){
                            vcCountMapState.put(vc , vcCountMapState.get(vc) + 1);
                        } else {
                            vcCountMapState.put(vc , 1);
                        }

                        StringBuilder outStr = new StringBuilder();
                        outStr.append("======================================\n");
                        outStr.append("传感器id为" + ws.getId() + "\n");
                        for (Map.Entry<Integer, Integer> vcCount : vcCountMapState.entries()) {
                            outStr.append(vcCount.toString() + "\n");
                        }
                        outStr.append("======================================\n");

                        out.collect(outStr.toString());

                    }
                }
        );
        // TODO 6.打印输出
        processDS.print();
        // TODO 7.提交作业
        env.execute();
    }
}
